Department of Computer, Data, and Mathematical Sciences
The Department of Computer, Data, and Mathematical Sciences has a long history of preparing both traditional and nontraditional women students for successful careers and for graduate school.
Empowering our students in the field
We provide an environment that empowers women in mathematics, computer science, and statistics and helps them to realize their potential in those fields. Sensitive to varied learning styles as well as to the changing workplace, we use a range of teaching methods to address students' individual needs. These include cooperative learning groups, use of computer laboratory investigations, and independent learning, as well as traditional teacher-directed learning. An important focus in our curriculum is modeling and real-world applications.
Students will learn to think critically, logically, and abstractly and gain a strong theoretical foundation on which to build their understanding of current technologies—and to imagine new innovations. Through hands-on class projects, students experiment with the design and development of websites, databases, applications, software, and other technologies. Building bridges between communication and programming, design and technical abilities, these students go on to careers in a wide range of industries.
Our Faculty
Learn more about our full-time MCS faculty, who are leaders in their fields and mentors in the classroom.
Award-Winning Faculty
Professor Nanette Veilleux was the recipient of the 2022 Mary Kenneth Keller Computer Science and Engineering Undergraduate Teaching Award. The award was granted for her work in "supporting young women in the STEM fields by inspiring students in the classroom and creating innovative curriculum and research opportunities at a women-centered institution." The video shown at the award presentation is available on YouTube.
Simmons Language Lab (SLANG)
Simmons Language Lab is a collaborative center for work on computational linguistics at Simmons University. Ongoing research attempts to bridge the gap between human understanding and machine processing of natural language. In SLANG, Professors of Computer Science Nanette Veilleux and Amber Stubbs conducts research on both written and spoken text, including syntactic and semantic annotations, automated text processing, and studies in speech prosody.
Computer Science Opportunities
Your source for professional, pre-professional, and internship opportunities.
Amber Stubbs
Associate Professor and Chair of Computer, Data & Mathematical Sciences, and Undergraduate Computer Science & Informatics Program Director